kundajelab-shap
View on PyPI — Reverse Dependencies (1)
Wheel Details
| Project: | kundajelab-shap |
| Version: | 1 |
| Filename: | kundajelab_shap-1-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_28_x86_64.whl |
| Download: | [link] |
| Size: | 354839 |
| MD5: | 565a300902f4dc743736730749914a80 |
| SHA256: | e7853f38d054b64fa9cd6ca9a21cb55a3b38ac98b1a8dcc5de11c6fb8eb2822c |
| Uploaded: | 2022-12-19 23:47:56 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt
METADATA
WHEEL
| Wheel-Version: | 1.0 |
| Generator: | bdist_wheel (0.38.4) |
| Root-Is-Purelib: | false |
| Tag: | cp39-cp39-manylinux_2_12_x86_64 |
| Tag: | cp39-cp39-manylinux2010_x86_64 |
| Tag: | cp39-cp39-manylinux_2_28_x86_64 |
RECORD
| Path | Digest | Size |
|---|---|---|
| shap/__init__.py | sha256=oAnGSWQJBR7LqH0YVZLtCGirTHjBQCHt-mp03Qvn7DE | 737 |
| shap/tree_shap.h | sha256=3NglDsVoaVewABO-THfQeQkcYThMAkiNvZoh8NITeF8 | 58311 |
| shap/datasets.py | sha256=h9POrDGh0aEwVcxqLO5Zi6CF6ggHtuG4H0KX7TvbExw | 8830 |
| shap/_cext.cpython-39-x86_64-linux-gnu.so | sha256=gS-9FKa0jITUfIHPusUQ_1zslJknLzk-Y8Jjt_4uyX0 | 337520 |
| shap/common.py | sha256=TvriVm4g5PDeqwbYNHZoHx4zx07MWfiiESGCnUpaa7s | 10308 |
| shap/plots/__init__.py | sha256=iA5DU9Y41lJzk-nKpcvHCJyYgIZU9JifGcnDdD-yomg | 568 |
| shap/plots/colors.py | sha256=c_aDYKYRjVpBkH_SFZJpzbOCrLJzKF4o2Y2ovrzHHjI | 4440 |
| shap/plots/embedding.py | sha256=S8QkHMuU4iZvfEa1n_TlXqokolu7ssal7pWgMqsFgPw | 2812 |
| shap/plots/image.py | sha256=VF6A0whY_tKcLsrN0ZTIusAHxaXXuDWXY4su3Z7E93c | 3058 |
| shap/plots/summary.py | sha256=mtsrvVhc1n-egv2wtCvyTE2eYwz5Jn3-BoyFJarbd38 | 19712 |
| shap/plots/dependence.py | sha256=i5G5N08DPK1BG_Xrb3SDoQ9CmXGteklYWtbNXChkg5I | 12052 |
| shap/plots/force.py | sha256=4E0geDEbVMjNvoRO30l5BzpGz9vvgNvnfflVMFKFrnQ | 16645 |
| shap/plots/force_matplotlib.py | sha256=QffOBLAVAGhVZlRrpwjHCRLhGQO3B5_nIhzzWXv0FSU | 14402 |
| shap/plots/monitoring.py | sha256=AHfVlo6G1b8bYknck8W1IuRpl53PDVmng-mLo97ohJU | 2826 |
| shap/plots/resources/logoSmallGray.png | sha256=I7UAO6eO-2ghl7qW2AVkpn7LXkQ_8yVSOFh9X8aQqjc | 570 |
| shap/plots/resources/bundle.js | sha256=BKp54Q0uAsmu3rLXDilNO0ifm0Qng1BEMPSpx3HbC6g | 385366 |
| shap/explainers/kernel.py | sha256=K9cnjmmTc5OvZhM1dOLFvYEWwwj3ekAgwbO5PXKWJfQ | 30051 |
| shap/explainers/__init__.py | sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU | 0 |
| shap/explainers/tree.py | sha256=ROrVnkzZnfEyPBbxzjMGROz5mkhlsOK4612UtvteePU | 61290 |
| shap/explainers/pytree.py | sha256=tR0s29WaJ5ENBQPo3tDs0UIsK6tjpEXMlXWTDGd9SwM | 20300 |
| shap/explainers/linear.py | sha256=tBdiKcKwvGeKDHw9YxDj310YLHlq88CTUPQDa0oL0AI | 12274 |
| shap/explainers/mimic.py | sha256=Vi2LvVOsViCjulN6sHk4nxw8KwLF67DhtFqNp6Vsl54 | 4962 |
| shap/explainers/sampling.py | sha256=JCkDENAg_jEV7-VuJJ-vNeyov5AyOnMeRGEcoV3FyLg | 7591 |
| shap/explainers/gradient.py | sha256=kVn1xHdcSnK4L-aMSyTzNSARIQ3hyJhBtZsNWljFues | 24701 |
| shap/explainers/explainer.py | sha256=_kElqfFVs_uXlGaKbY21r4a_AhAO7DrswnTgHwziBq8 | 257 |
| shap/explainers/other/__init__.py | sha256=PKyN3gsu9UNWeV0uxIkxhh3HHAoTRrEuacgzgSoShQA | 158 |
| shap/explainers/other/coefficent.py | sha256=HCxzU0u3nWG9xKNzve5aixr0rvUY7OV8HLI0uVjmxB4 | 520 |
| shap/explainers/other/random.py | sha256=hjMhnC8tiqvl5FE0OCKCdIrL4KaJNdYIzxgil5H6bTY | 758 |
| shap/explainers/other/treegain.py | sha256=3SWGFwZ6kGH9eF4cXHOjvhKu8SG6Fr7GzUCEg7bf_6k | 1281 |
| shap/explainers/other/lime.py | sha256=7Xkx0s-JXaocseViqIye0IB2y6RpU8ieGqXPAYFWNKs | 2531 |
| shap/explainers/deep/__init__.py | sha256=Bynojzpx02DZ76ka04GgyObZMDKZwMuRazay-1TP0xs | 7807 |
| shap/explainers/deep/misc.py | sha256=dUxja4q1mJHmn_TyXF0yiFVP6QC_kX-eFHMcoqlRPfY | 197 |
| shap/explainers/deep/deep_tf.py | sha256=vupkMH9tPma2XoAK0BbuuwqW_-X8-hKn-KaVUgwJIkw | 30229 |
| shap/explainers/deep/deep_pytorch.py | sha256=o2e-_T1RNbRtX0SIj1o2rB-yHnpNBdhw2fZ01jXe_OA | 19136 |
| shap/benchmark/__init__.py | sha256=WmOhJIFf63qJ-0n8V-gjLsqxy5Rx1s0EDs2s7Vb2FuI | 933 |
| shap/benchmark/measures.py | sha256=AOP_i54nbdBxdCcdpHGbigsx624nfq84Gd7q5JqSVGk | 18601 |
| shap/benchmark/metrics.py | sha256=nnhcxLnkegjyildsbQxsD5gtwC8bXZ0XRsi4IDCYpXw | 31495 |
| shap/benchmark/experiments.py | sha256=OTDphm63Rk_z5r5XjaIJx0ZEj2Gj4MTzQwn6UYH5RUc | 13977 |
| shap/benchmark/plots.py | sha256=DDh6s6FWq8QmDDSWq6vYgr4qb3UAKowEzfAPIDyi1wc | 23549 |
| shap/benchmark/methods.py | sha256=NDaWN4olkNdG_-itkI6acIDWTfkjIrDnCFy8u7j8HW8 | 3604 |
| shap/benchmark/models.py | sha256=NeaRHvmoRQjoHTs-gQOjmwJJm8zHFIuv71CBnW_OvjI | 6513 |
| kundajelab_shap-1.dist-info/top_level.txt | sha256=MjIGqmLADIjgB_iEb34vXFQuCf62i26ItbMzajhG084 | 5 |
| kundajelab_shap-1.dist-info/METADATA | sha256=sNCxwP5sLhuXk_HicLswq8BrsqEIsc77nP04ecz5kB8 | 602 |
| kundajelab_shap-1.dist-info/WHEEL | sha256=FVeM-SH8NjGjt38bXCiXlSlMuHLyWHXBPk0JnZVmWnQ | 185 |
| kundajelab_shap-1.dist-info/LICENSE | sha256=z1wmMFxjLlRRtu7X4JZKNsTOwRAvDGRn2wY7NIOhkSc | 1081 |
| kundajelab_shap-1.dist-info/RECORD | — | — |
top_level.txt
shap